def setUp(self):
self.unionPooler = UnionPooler(
inputDimensions=5,
columnDimensions=5,
potentialRadius=16,
potentialPct=0.9,
globalInhibition=True,
localAreaDensity=-1.0,
numActiveColumnsPerInhArea=2.0,
stimulusThreshold=2,
synPermInactiveDec=0.01,
synPermActiveInc=0.03,
synPermConnected=0.3,
minPctOverlapDutyCycle=0.001,
minPctActiveDutyCycle=0.001,
dutyCyclePeriod=1000,
maxBoost=1.0,
seed=42,
spVerbosity=0,
wrapAround=True,
# union_pooler.py parameters
activeOverlapWeight=1.0,
predictedActiveOverlapWeight=10.0,
maxUnionActivity=0.20)
def setUp(self):
self.unionPooler = UnionPooler(inputDimensions=5,
columnDimensions=5,
potentialRadius=16,
potentialPct=0.9,
globalInhibition=True,
localAreaDensity=-1.0,
numActiveColumnsPerInhArea=2.0,
stimulusThreshold=2,
synPermInactiveDec=0.01,
synPermActiveInc=0.03,
synPermConnected=0.3,
minPctOverlapDutyCycle=0.001,
minPctActiveDutyCycle=0.001,
dutyCyclePeriod=1000,
maxBoost=1.0,
seed=42,
spVerbosity=0,
wrapAround=True,
# union_pooler.py parameters
activeOverlapWeight=1.0,
predictedActiveOverlapWeight=10.0,
maxUnionActivity=0.20,
exciteFunctionType='Fixed',
decayFunctionType='NoDecay')
class UnionPoolerTest(unittest.TestCase):
def setUp(self):
self.unionPooler = UnionPooler(inputDimensions=5,
columnDimensions=5,
potentialRadius=16,
potentialPct=0.9,
globalInhibition=True,
localAreaDensity=-1.0,
numActiveColumnsPerInhArea=2.0,
stimulusThreshold=2,
synPermInactiveDec=0.01,
synPermActiveInc=0.03,
synPermConnected=0.3,
minPctOverlapDutyCycle=0.001,
minPctActiveDutyCycle=0.001,
dutyCyclePeriod=1000,
maxBoost=1.0,
seed=42,
spVerbosity=0,
wrapAround=True,
# union_pooler.py parameters
activeOverlapWeight=1.0,
predictedActiveOverlapWeight=10.0,
maxUnionActivity=0.20)
def testDecayPoolingActivationDefaultDecayRate(self):
self.unionPooler._poolingActivation = numpy.array([0, 1, 2, 3, 4],
dtype=REAL_DTYPE)
expected = numpy.array([0, 0, 1, 2, 3], dtype=REAL_DTYPE)
result = self.unionPooler._decayPoolingActivation()
self.assertTrue(numpy.array_equal(expected, result))
def testDecayPoolingActivationSpecifiedDecayRate(self):
self.unionPooler._decayFunctionSlope = 10
self.unionPooler._poolingActivation = numpy.array([0, 10, 20, 30, 40],
dtype=REAL_DTYPE)
expected = numpy.array([0, 0, 10, 20, 30], dtype=REAL_DTYPE)
result = self.unionPooler._decayPoolingActivation()
self.assertTrue(numpy.array_equal(expected, result))
def testAddToPoolingActivation(self):
activeCells = numpy.array([1, 3, 4])
# [ 0, 1, 0, 1, 1]
overlaps = numpy.array([0.123, 0.0, 0.0, 0.456, 0.789])
expected = [0.0, 0.0, 0.0, 0.456, 0.789]
result = self.unionPooler._addToPoolingActivation(activeCells, overlaps)
self.assertTrue(numpy.allclose(expected, result))
def testAddToPoolingActivationExistingActivation(self):
self.unionPooler._poolingActivation = numpy.array([0, 1, 2, 3, 4],
dtype=REAL_DTYPE)
activeCells = numpy.array([1, 3, 4])
# [ 0, 1, 0, 1, 1]
overlaps = numpy.array([0.123, 0.0, 0.0, 0.456, 0.789])
expected = [0.0, 1.0, 2.0, 3.456, 4.789]
result = self.unionPooler._addToPoolingActivation(activeCells, overlaps)
self.assertTrue(numpy.allclose(expected, result))
def testGetMostActiveCellsUnionSizeZero(self):
self.unionPooler._poolingActivation = numpy.array([0, 1, 2, 3, 4],
dtype=REAL_DTYPE)
self.unionPooler._maxUnionCells = 0
result = self.unionPooler._getMostActiveCells()
self.assertEquals(len(result), 0)
def testGetMostActiveCellsRegular(self):
self.unionPooler._poolingActivation = numpy.array([0, 1, 2, 3, 4],
dtype=REAL_DTYPE)
result = self.unionPooler._getMostActiveCells()
self.assertEquals(len(result), 1)
self.assertEquals(result[0], 4)
def testGetMostActiveCellsIgnoreZeros(self):
self.unionPooler._poolingActivation = numpy.array([0, 0, 0, 3, 4],
dtype=REAL_DTYPE)
self.unionPooler._maxUnionCells = 3
result = self.unionPooler._getMostActiveCells()
self.assertEquals(len(result), 2)
self.assertEquals(result[0], 4)
self.assertEquals(result[1], 3)
class UnionPoolerTest(unittest.TestCase):
def setUp(self):
self.unionPooler = UnionPooler(
inputDimensions=5,
columnDimensions=5,
potentialRadius=16,
potentialPct=0.9,
globalInhibition=True,
localAreaDensity=-1.0,
numActiveColumnsPerInhArea=2.0,
stimulusThreshold=2,
synPermInactiveDec=0.01,
synPermActiveInc=0.03,
synPermConnected=0.3,
minPctOverlapDutyCycle=0.001,
minPctActiveDutyCycle=0.001,
dutyCyclePeriod=1000,
maxBoost=1.0,
seed=42,
spVerbosity=0,
wrapAround=True,
# union_pooler.py parameters
activeOverlapWeight=1.0,
predictedActiveOverlapWeight=10.0,
maxUnionActivity=0.20)
def testDecayPoolingActivationDefaultDecayRate(self):
self.unionPooler._poolingActivation = numpy.array([0, 1, 2, 3, 4],
dtype=REAL_DTYPE)
expected = numpy.array([0, 1, 2, 3, 4], dtype=REAL_DTYPE)
result = self.unionPooler._decayPoolingActivation()
self.assertTrue(numpy.array_equal(expected, result))
def testAddToPoolingActivation(self):
activeCells = numpy.array([1, 3, 4])
# [ 0, 1, 0, 1, 1]
overlaps = numpy.array([0.123, 0.0, 0.0, 0.456, 0.789])
expected = [0.0, 0.0, 0.0, 0.456, 0.789]
result = self.unionPooler._addToPoolingActivation(
activeCells, overlaps)
self.assertTrue(numpy.allclose(expected, result))
def testAddToPoolingActivationExistingActivation(self):
self.unionPooler._poolingActivation = numpy.array([0, 1, 2, 3, 4],
dtype=REAL_DTYPE)
activeCells = numpy.array([1, 3, 4])
# [ 0, 1, 0, 1, 1]
overlaps = numpy.array([0.123, 0.0, 0.0, 0.456, 0.789])
expected = [0.0, 1.0, 2.0, 3.456, 4.789]
result = self.unionPooler._addToPoolingActivation(
activeCells, overlaps)
self.assertTrue(numpy.allclose(expected, result))
def testGetMostActiveCellsUnionSizeZero(self):
self.unionPooler._poolingActivation = numpy.array([0, 1, 2, 3, 4],
dtype=REAL_DTYPE)
self.unionPooler._maxUnionCells = 0
result = self.unionPooler._getMostActiveCells()
self.assertEquals(len(result), 0)
def testGetMostActiveCellsRegular(self):
self.unionPooler._poolingActivation = numpy.array([0, 1, 2, 3, 4],
dtype=REAL_DTYPE)
result = self.unionPooler._getMostActiveCells()
self.assertEquals(len(result), 1)
self.assertEquals(result[0], 4)
def testGetMostActiveCellsIgnoreZeros(self):
self.unionPooler._poolingActivation = numpy.array([0, 0, 0, 3, 4],
dtype=REAL_DTYPE)
self.unionPooler._maxUnionCells = 3
result = self.unionPooler._getMostActiveCells()
self.assertEquals(len(result), 2)
self.assertEquals(result[0], 4)
self.assertEquals(result[1], 3)
